Numerical study of natural convection in nanofluids using a novel approach to thermophysical properties: Application to Cu-based core–shell nanoparticles with single and double shell structures

Natural convection is a crucial heat transfer mechanism in electronics cooling and energy systems. Nanofluids, utilizing various types of nanoparticles, have been found to significantly improve thermal performance, making them promising candidates for enhancing this process. In this study, a novel type of hybrid core-shell nanoparticle and a new approach to define the thermophysical properties of these nanofluids for enhancing heat transfer in a differentially heated square cavity, were introduced. The novelty of this work lies in the adoption of new correlations to simulate the thermophysical properties of core-shell nanoparticles, tailored for both single and double shell structures. Copper-based nanoparticles with single or double shells (Cu@Ag, Cu@Au, and Cu@Ag-Au) suspended in water were used to examine the influence of Rayleigh numbers (Ra) and nanoparticle concentrations (ϕ) on heat transfer. A correlation for the thermal conductivity of the nanofluid ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>nf</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> ) has been developed based on existing data, taking into account the thermal conductivities ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mi>k</mml:mi> <mml:mi>p</mml:mi> </mml:msub> </mml:mrow> </mml:math> ) of both the core and shell of the nanoparticles. The numerical simulations employ the finite volume method to discretize the continuity, momentum, and energy equations, using the Boussinesq approximation to model buoyancy effects. To confirm the accuracy of the numerical approach and the mathematical model, a thorough series of comparisons was carried out for free convection in a square cavity under differential heating circumstances. Several researchers’ experimental data from the literature were used to comprehensively assess the correctness of the numerical solutions and simulations. The results show that Cu@Au-water nanofluids can achieve up to a 74.83% increase in Nusselt number over pure water at Ra = 10 6 and ϕ = 0.03, followed closely by Cu@Ag-Au, which exhibits a 54.32% improvement. The study highlights the potential of core-shell nanofluids, specifically Cu@Au, in improving thermal performance in advanced thermal management applications, paving the way for future optimization of multi-layered nanoparticles.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Published
2025-08-22
DOI
https://doi.org/10.1177/09544062251358056
Primary Topic
Nanofluid Flow and Heat Transfer
Type
article
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article

Numerical study of natural convection in nanofluids using a novel approach to thermophysical properties: Application to Cu-based core–shell nanoparticles with single and double shell structures

Farida Iachachene, Ahmet Selim Dalkılıç, Hanane Cheradi, Nour Elislam Mougari et al.
Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science
Nanofluid Flow and Heat Transfer
article

Numerical study of natural convection in nanofluids using a novel approach to thermophysical properties: Application to Cu-based core–shell nanoparticles with single and double shell structures

Farida Iachachene, Ahmet Selim Dalkılıç, Hanane Cheradi, Nour Elislam Mougari, Malika Kabache
article en

Abstract

Natural convection is a crucial heat transfer mechanism in electronics cooling and energy systems. Nanofluids, utilizing various types of nanoparticles, have been found to significantly improve thermal performance, making them promising candidates for enhancing this process. In this study, a novel type of hybrid core-shell nanoparticle and a new approach to define the thermophysical properties of these nanofluids for enhancing heat transfer in a differentially heated square cavity, were introduced. The novelty of this work lies in the adoption of new correlations to simulate the thermophysical properties of core-shell nanoparticles, tailored for both single and double shell structures. Copper-based nanoparticles with single or double shells (Cu@Ag, Cu@Au, and Cu@Ag-Au) suspended in water were used to examine the influence of Rayleigh numbers (Ra) and nanoparticle concentrations (ϕ) on heat transfer. A correlation for the thermal conductivity of the nanofluid ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mrow> <mml:mi>k</mml:mi> </mml:mrow> <mml:mrow> <mml:mi>nf</mml:mi> </mml:mrow> </mml:msub> </mml:mrow> </mml:math> ) has been developed based on existing data, taking into account the thermal conductivities ( <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" overflow="scroll"> <mml:mrow> <mml:msub> <mml:mi>k</mml:mi> <mml:mi>p</mml:mi> </mml:msub> </mml:mrow> </mml:math> ) of both the core and shell of the nanoparticles. The numerical simulations employ the finite volume method to discretize the continuity, momentum, and energy equations, using the Boussinesq approximation to model buoyancy effects. To confirm the accuracy of the numerical approach and the mathematical model, a thorough series of comparisons was carried out for free convection in a square cavity under differential heating circumstances. Several researchers’ experimental data from the literature were used to comprehensively assess the correctness of the numerical solutions and simulations. The results show that Cu@Au-water nanofluids can achieve up to a 74.83% increase in Nusselt number over pure water at Ra = 10 6 and ϕ = 0.03, followed closely by Cu@Ag-Au, which exhibits a 54.32% improvement. The study highlights the potential of core-shell nanofluids, specifically Cu@Au, in improving thermal performance in advanced thermal management applications, paving the way for future optimization of multi-layered nanoparticles.

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering ScienceVol. 239(21)
University of Boumerdes (DZ), Yıldız Technical University (TR)
Openalex Percentile: Top 79%
Nanofluid Flow and Heat Transfer
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